See base class.

See base class.

Gets a collection of `InputExample`s for the train set.

See base class.

See base class.

See base class.

将json list写入text文件中 :param file_path: :param data: :return:

用于加载模型

加载模型 :param model: :param model_name: :param model_path: :param only_param: :return:

加载.npy文件 :param file_path: :return:

读取pickle文件 :param pickle_path: :param file_name: :return:

用于合并两个word2id或者两个tag2id

判断环境 cpu还是gpu 支持单机多卡 :param n_gpu: :param model: :return:

Parse index file.

Row-normalize feature matrix and convert to tuple representation

read json

加载模型 :param resume_path: :param model: :param optimizer: :return: 注意： 如果是加载Bert模型的话，需要调整，不能使用该模式 可以使用模块自带的Bert_model.from

Create mask.

存储不含有显卡信息的state_dict或model :param model: :param model_name: :param only_param: :return:

保存成.npy文件 :param data: :param file_path: :return:

保存成pickle文件 :param data: :param file_name: :param pickle_path: :return:

Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model

Performs a single Lookahead optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model

Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model

Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model

Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model

Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model

Support bool type for argparse.

打印模型结构信息 :param model: :param inputs: :param batch_size: :param show_input: :return: Example: >>> print("model su